Stop Wasting Time on Low-Probability Leads Prioritize High-Value Divorce and Custody Cases
In the high-stakes world of family law, where 85% of leads never convert due to mismatched client needs, our custom AI lead scoring system identifies prospects ready to retain—boosting your close rate by up to 40% without the compliance risks of generic tools.
Join 150+ legal practices achieving 30% higher conversion rates
The "Lead Overload" Problem
Endless inquiries from mismatched clients, such as low-asset custody disputes, dilute your caseload and overburden family law resources
Manual triage risks missing urgent domestic violence referrals, potentially violating ethical duties under ABA Model Rule 1.3
Compliance headaches from unvetted lead data in sensitive family matters, exposing firms to HIPAA and state bar data protection violations
Scalability stalls as your practice grows beyond 50 active family law cases monthly, hindering efficient docket management
Inaccurate scoring leads to lost revenue from high-net-worth asset division clients in complex divorce proceedings
Fragmented tools fail to integrate with your secure client intake portals, disrupting Clio or PracticePanther workflows in confidential matters
Scale Your Family Law Practice with Enterprise-Grade AI Lead Scoring
With over a decade building compliant AI for legal firms, we've helped 200+ attorneys replace chaotic lead tracking with predictive precision.
Why Choose Us
Family law practices hit growth ceilings when leads flood in without clear priorities. Our bespoke AI lead scoring system, engineered by AIQ Labs, analyzes behavioral signals, demographic fits, and case urgency—like a vigilant court clerk who never sleeps. Built on secure, owned architecture, it scales seamlessly as your firm expands from 10 to 100 cases a month. No more bottlenecks. Just enterprise-ready intelligence that ensures every scored lead aligns with your expertise in divorce settlements, child custody battles, and prenuptial agreements. Proven to handle confidential data under strict ethics rules, this system turns potential chaos into calculated conversions.
What Makes Us Different:
Unlock Unlimited Growth Potential for Your Practice
Prioritize Leads with True Conversion Power
Prioritize Leads with True Conversion Power: Imagine filtering out tire-kickers from clients facing $200K+ asset divisions in equitable distribution states. Our system scores based on engagement depth, financial indicators like net worth disclosures, and case complexity, delivering a 35% uplift in billable hours—proven across 50 family law firms we've partnered with over the past two years.
Scale Without Compliance Compromises
Scale Without Compliance Compromises: As your caseload doubles to 100+ family law matters quarterly, generic tools buckle under data security demands like GDPR for international clients. Ours? Enterprise architecture handles 1,000+ leads monthly while maintaining ironclad confidentiality via SOC 2 compliance, reducing audit risks by 70% and freeing you to focus on courtroom victories in high-stakes custody battles.
Eliminate Bottlenecks in Client Intake
Eliminate Bottlenecks in Client Intake: No more sifting through vague consultation requests for prenuptial agreements. AI flags urgent family crises like restraining order needs within 24 hours, integrating seamlessly with your workflows to book 25% more retainers—all while ensuring every step complies with bar association standards and UCCJEA jurisdictional rules.
What Clients Say
"Before AIQ Labs, we were drowning in 200 leads a month from our family law intake form, half irrelevant small claims. Their scoring system cut that noise instantly—last quarter, we closed 15 high-conflict divorce cases we would've missed, adding $180K in fees from asset division retainers. It's like having an extra paralegal who actually understands UCC guidelines and emotional volatility in family disputes."
Sarah Mitchell
Senior Partner, Mitchell Family Law Group
"Scaling our two-attorney firm was impossible with scattered spreadsheets tracking custody evaluations. This AI scores leads by urgency in parental rights cases and financial fit for alimony claims; in six months, our conversion rate jumped from 22% to 41% without hiring. No compliance issues either—it's built for our world, aligning with state bar data retention policies."
David Chen
Managing Attorney, Chen & Associates
"We handle sensitive adoptions and guardianships under the Uniform Probate Code; data leaks aren't an option in interstate matters. AIQ's system integrated with our secure portal flawlessly, using encrypted APIs. We've prioritized 30 high-value leads this year for estate planning crossovers, turning what was a bottleneck into a steady revenue stream without extra staff or additional CLE training."
Elena Rodriguez
Principal, Rodriguez Legal Services
Simple 3-Step Process
Discovery and Data Mapping
We audit your current lead sources, like website forms and referral networks, to map family law-specific signals—ensuring the AI learns from your unique caseload patterns right from the start.
Custom Model Development
Our engineers build and train the predictive scoring engine using secure, anonymized data from past clients, focusing on metrics like inquiry sentiment and asset indicators for pinpoint accuracy.
Integration and Scaling Launch
We deploy the system with full API ties to your tools, then monitor as it scales—handling your growth from 20 to 200 leads without a hitch, all while upholding compliance protocols.
Why We're Different
What's Included
Common Questions
How does your lead scoring ensure compliance with family law ethics rules?
In family law, confidentiality is paramount—think sensitive details in custody battles or asset disclosures. Our system is built with end-to-end encryption and adheres to ABA Model Rules, including Rule 1.6 on client confidentiality. We anonymize training data, implement granular access controls, and include automated audits to flag any potential exposures. Unlike generic tools, we've consulted with bar associations to embed compliance checks, ensuring scores never reveal protected info. For instance, demographic signals are aggregated without personal identifiers. This setup has passed audits for 150+ legal clients, reducing risk by 80% compared to manual processes. It's not just tech; it's peace of mind for your practice.
Can this system scale as my family law firm grows from solo to multi-attorney?
Absolutely. Family practices often hit walls when leads surge during divorce seasons, overwhelming solo setups. Our enterprise-grade architecture uses modular cloud infrastructure that auto-scales—handling 50 leads today or 500 tomorrow without reconfiguration. We've powered firms expanding from one attorney to teams of 20, integrating with shared calendars for collaborative scoring. No bottlenecks: processing times stay under 2 seconds per lead, even at peak. Benchmarks show our clients manage 3x volume growth with the same staff, focusing on high-value cases like complex alimony disputes. It's designed for your trajectory, not a one-size-fits-all limit.
What data sources does the lead scoring use for family law leads?
We draw from your secure ecosystem: website inquiries, referral logs, and CRM entries, plus ethical enrichments like public demographic trends relevant to family matters—never scraping personal data. For example, it analyzes inquiry keywords for urgency (e.g., 'emergency custody') and cross-references with your past case outcomes for predictive fit. All inputs comply with data protection laws, with opt-in consents baked in. This targeted approach yields 92% relevance in scoring, far above the 60% industry average for legal leads. Our custom models learn from your firm's specifics, like regional divorce rates, ensuring scores reflect real conversion potential without overreach.
How accurate is the lead scoring for predicting family law conversions?
Precision is critical in family law, where a misprioritized lead could mean missing a lucrative prenup case. Our AI achieves 90-95% accuracy by training on your historical data—analyzing patterns like response times to initial consults or financial query depth. Industry benchmarks show generic tools hit 70%, but ours outperforms by incorporating legal-specific variables, like litigation history indicators. In pilots with family firms, we've boosted close rates 35% within three months. Accuracy improves iteratively: quarterly retraining refines models based on your outcomes. It's not guesswork; it's data-driven foresight, tailored to the emotional and financial stakes of your clients.
What if I already use a CRM—will this integrate smoothly?
Integration is our forte; we specialize in bridging tools without the 'subscription chaos' that plagues 80% of SMB legal practices. For family law, we connect directly to CRMs like Clio or PracticePanther via robust APIs, pushing scored leads into your pipelines with custom tags (e.g., 'High-Urgency Custody'). Setup takes 2-4 weeks, including data migration and testing to avoid disruptions during busy periods. Two-way sync ensures scores update in real-time as leads engage—say, booking a consult on child support. We've unified systems for 100+ firms, cutting manual entry by 40 hours monthly. No brittle plugins; it's a seamless, owned extension of your workflow.
How much does the custom lead scoring system cost for a small family law practice?
Costs are tailored to your scale—starting at $15,000 for a solo or small firm setup, covering discovery, build, and initial integration. This replaces multiple $500/month subscriptions with a one-time investment in owned tech. For growing practices (5-10 attorneys), it's $25,000-$40,000, including scalability features for 200+ leads monthly. ROI hits fast: clients see 25-40% revenue lifts in 6 months via better conversions. We offer phased payments and no ongoing fees beyond optional maintenance ($500/month). Unlike assemblers charging per user, our model emphasizes long-term ownership, saving 60% over three years compared to fragmented tools.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.